Result for 32E85AA8C0F9770C7FC8201F622F1C5B029F5CD8

Query result

Key Value
FileName./usr/lib/python3/dist-packages/xarray/tests/data/example.ict
FileSize702
MD50B83EE209569B16C963381CD1E290939
SHA-132E85AA8C0F9770C7FC8201F622F1C5B029F5CD8
SHA-2562149F5B50A2BA32787FFAF3831A269262B83226AA0362325DC491E7F7ADA3D57
SSDEEP12:0ZLbv16cJGpwwwwivXq2QKsrcws94FYLABYPxh3sbXLJuIbywH1:4Lbv1WwwwwivdtsrSpLuUh8zLJuS
TLSHT1EB01F44713CC11F0ED5394990BA1BD4F3354732F1CFA0C05505672581DC364E98A0F16
hashlookup:parent-total24
hashlookup:trust100

Network graph view

Parents (Total: 24)

The searched file hash is included in 24 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5E7DD21AECA0775BCFD5CF037E8A98548
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-xarray
PackageReleaselp152.3.4
PackageVersion0.11.3
SHA-109FC1B00D5F19D83B82B6457AA6A6977E1DFACBA
SHA-256360196281A9100D772F768704656BA1265AFEDBC1BB1A40DFB231574AB1AB642
Key Value
MD50E0AF64511651E10E5E7B3C5B811C809
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-xarray
PackageReleaselp151.2.1
PackageVersion0.11.3
SHA-10E015BA6399DE72074669D49FE81F92B7DCD0AFA
SHA-256C101AA7B15FE336B9DB892CA97C41449BB20B2C844266514D7CF0DAA88E50779
Key Value
FileSize355100
MD5C5674F2A78C84CE26F9A6E28DAFF422E
PackageDescriptionN-D labeled arrays and datasets in Python 3 xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. . It provides a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. . This package provides the Python 3 library
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-xarray
PackageSectionpython
PackageVersion0.12.1-2~bpo10+1
SHA-12B5F37A188A16297F1665D35057A055E1A03AF0E
SHA-256DC8CF312C9C853CD636D4DA12655A1557E3A8847F28A2B82CCAB6EB3E55DFB68
Key Value
MD5C99BB5398D9A33D028108FD41A8797CA
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython3-xarray
PackageRelease3.6
PackageVersion0.16.2
SHA-133716481558B3BF4F75D1BE1CE49F83FD9556A3A
SHA-2566FE5CF9C45EAEE4F6C36AF5F0F5A275F9563ECDC0A51244EDB34DFDA3389FD08
Key Value
MD541863A1B0F1062FD29DCC389587DDFF9
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-xarray
PackageReleaselp152.3.4
PackageVersion0.11.3
SHA-1359727C355E280DE1CDD0626736ECAB3204CAD4A
SHA-256FE4F7F76C27A5F7D2517E6035E61864DE7A6F8C8FC4F5D88F05ADDD117BA671C
Key Value
MD5233FCCC24D55E8F9E924897D591E46EF
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-xarray
PackageReleasebp155.2.11
PackageVersion0.13.0
SHA-13BE368A81E979325A0A50129B7ECF199792E745E
SHA-256810F921FB3D5C43E9AE7BB928DCD1DC750847B0E053D25E09C232607766E8893
Key Value
MD5604395DDDFE74D7B8686B995AE664507
PackageArchnoarch
PackageDescriptionXarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray's data model, and integrates tightly with dask for parallel computing.
PackageMaintainerFedora Project
PackageNamepython3-xarray
PackageRelease1.fc33
PackageVersion0.16.1
SHA-145DFB3D025A03D0F07BAA0B0B2BD1732F9161B72
SHA-2566F5C919419803326689417C03B49F01015DD59640A97EE58F793D87961055AC1
Key Value
FileSize483864
MD5D2957F7306600D8C7CCFCF337ED35BDF
PackageDescriptionN-D labeled arrays and datasets in Python 3 xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. . It provides a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. . This package provides the Python 3 library
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-xarray
PackageSectionpython
PackageVersion0.16.2-2
SHA-1591EF16D7332C34E1EB54A08389EC10740FCA162
SHA-2561301178B3D3A972B2180111721858FC7D96CBD43FB1B96FE032FCBC525FC3559
Key Value
FileSize465336
MD59F3B45C04DA158EBD442E15837FA703A
PackageDescriptionN-D labeled arrays and datasets in Python 3 xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. . It provides a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. . This package provides the Python 3 library
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-xarray
PackageSectionpython
PackageVersion0.16.0-1
SHA-16B4458A2E1FD4479DA04EFB25F70D74957547D94
SHA-2567F29E35AADE8942449898D61A4A33627B4BCD312F4DF8709191B5B9187F70438
Key Value
MD5D68FF1A377928F17C9DA6B0FB037A2A0
PackageArchnoarch
PackageDescriptionXarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray's data model, and integrates tightly with dask for parallel computing.
PackageMaintainerFedora Project
PackageNamepython3-xarray
PackageRelease1.fc32
PackageVersion0.15.1
SHA-18028092FB3FB86551114838ED07B6FCE80628EFA
SHA-25610C0C632BCDB558AE8954C8969691C6F294F8E26E02F0AF93F6EDB6D2ABB74A6